While much of the AI sector raced to market with demos and hype, Industrio took a different path, building in production alongside its customers.
Founded in 2023, the Vancouver-based company spent three years developing and validating its operational intelligence platform across enterprise deployments before unveiling its Signal platform this week.
“Instead of chasing hype, we’ve been working alongside actual customers to understand their needs,” explains CEO Edoardo De Martin, who co-founded Industrio with fellow Microsoft veteran Trevor Clark and Arash Ashtiani, former data science leader with Mercedes-Benz. “"Signal represents the maturation of that approach—we've worked through the hard problems with real customers, and now we're ready to bring that proven platform to others facing similar operational challenges.
De Martin describes "The platform builds a blueprint of how your operations work, automates the workflows, and surfaces the intelligence people actually need in the moment they need it. And as your operations evolve, Signal evolves with them."
Industrio has been building solutions directly with customers facing real operational challenges. Pacific Blue Cross Solutions deployed a digital twin for their healthcare operations, while the City of Vancouver is developing a common operating platform incorporating digital twin and AI capabilities to support major event operations. The company also works with Glacier Media and Olberding, a large US consumer packaging company.
According to Industrio, Signal unifies fragmented data, workflows and human decision-making into a single operational view by modeling operational environments — including assets, events, relationships and system status — and delivering contextualized, role-specific intelligence to users. “Operational intelligence isn’t about replacing experts,” De Martin says. “It’s about ensuring the people responsible for critical systems have the full context they need to make critical decisions.”
Signal’s core capabilities are said to include automated data ingestion, threshold-based alerting, event-driven workflows and domain-specialized AI agents capable of synthesizing information across multiple systems. Its model-agnostic architecture, meanwhile, allows organizations to integrate different AI models without re-architecting underlying infrastructure.
Industrio positions Signal as particularly suited to mission-critical environments where data is distributed across multiple systems, decisions are auditable, and human expertise is intended to be augmented rather than replaced. The company also highlights potential dual-use applications, arguing that capabilities proven in civilian systems may extend to defence and national infrastructure contexts.
“As Canada looks at critical infrastructure and dual-use technology more seriously, we think it’s important that the platforms supporting those systems are built here, governed here and aligned with Canadian standards,” De Martin says. “As organizations continue to assess how to deploy AI responsibly in mission-critical systems, Signal enters the market positioned not as an experimental tool, but as a platform developed inside operational environments where performance and oversight were baseline requirements.”